This article provides a complete, practical walkthrough of the Splitout Editimage Automation Webhook n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.

What This Agent Does

This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.

It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.

Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.

How It Works

The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.

Third‑Party Integrations

• HTTP Request
• Webhook

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   Title:  
   Automate Background Removal of Google Drive Images with n8n and Photoroom API
   
   Meta Description:  
   Learn how to automate advanced background removal from images stored in Google Drive using n8n and the Photoroom API. This workflow simplifies professional image editing tasks with minimal manual effort.
   
   Keywords:  
   n8n workflow, background removal automation, Google Drive image processing, Photoroom API integration, no-code image editor, automated image enhancement, edit image background, remove background Google Drive, Photoroom n8n, image API automation
   
   Third-Party APIs Used:
   1. Photoroom API – for background removal and image editing
   2. Google Drive API – for monitoring, downloading, and uploading image files
   
   Article:
   
   Remove Advanced Background from Google Drive Images Using n8n and Photoroom API
   
   In today’s content-driven landscape, handling large volumes of media efficiently is critical. Whether you're an online retailer, photographer, or content creator, managing and processing images manually can be time-consuming. That’s why no-code automation platforms like n8n, combined with smart APIs like Photoroom, can automate repetitive image editing tasks—such as background removal—seamlessly.
   
   This article breaks down a powerful n8n workflow designed to detect new images uploaded to a specific Google Drive folder, automatically remove their backgrounds using the Photoroom API, and then re-upload the modified images—all with custom configurations and zero coding required. Let’s explore how it works and how you can adapt it to suit your needs.
   
   How the Workflow Works
   
   At its core, this n8n workflow listens for newly uploaded image files in Google Drive, processes them using the Photoroom image editing API, adds options like padding and background color, and then saves the edited images back to a designated folder on the same drive.
   
   Here’s a high-level breakdown of key steps in this workflow:
   
   1. Watch for New Images (Google Drive Trigger Node)
   The workflow starts with a trigger node that regularly checks a specific folder in Google Drive for newly uploaded images.
   
   2. Download and Analyze
   Once a new image is detected, it's downloaded using the Google Drive API. The image’s dimensions are then retrieved using an "Edit Image" node to prepare for resizing logic.
   
   3. Split and Merge Logic for Scalable Processing
   Larger images (or bulk sets) are split for batch processing. Configuration nodes set parameters like:
   - Background color (e.g., white or transparent)
   - Desired padding percentage
   - Output resolution (fixed or match original)
   - API keys and output folder location
   
   4. Conditional Logic for Output Size
   A conditional IF node checks whether the user wants to retain the original size of the image or transform it to a fixed dimension (like 1600x1600 pixels). Based on this, the image is routed through one of two HTTP modules that interact with the Photoroom API’s endpoint for image editing.
   
   5. API Integration: Remove Background with Photoroom
   Two separate HTTP request nodes hit the https://image-api.photoroom.com/v2/edit endpoint. These send the image file along with configuration such as:
   - Background color
   - Padding
   - Output dimensions
   This step leverages your provided x-api-key for secure authentication with Photoroom.
   
   6. Upload Final Image to Google Drive
   After background removal and resizing are complete, the modified image is named with a “BG-Removed-” prefix to distinguish it from the original. Then it’s uploaded to your configured Google Drive folder using the Google Drive node.
   
   Key Features
   
   This workflow is packed with customization options that adapt to a variety of use cases:
   
   - 📁 Google Drive Integration: Use OAuth2 to securely access and manage files.
   - ✂️ Background Removal: Automate tedious edits using Photoroom’s AI.
   - 🎨 Custom Backgrounds: Choose from transparent, white, or other single-color backgrounds.
   - 📐 Output Flexibility: Choose to resize images or retain original dimensions.
   - 🧩 Padding Options: Improve image framing with adjustable padding.
   - 🔁 Scalable Processing: Loops and batching enable handling of multiple images.
   
   Getting Started: What You Need
   
   To get this workflow up and running, gather the following resources:
   
   - A valid Photoroom API key. You can obtain one by signing up and visiting their API documentation site.
   - A connected Google Drive account, properly authenticated in n8n.
   - Selected input and output folders within Google Drive to define where uploaded files are read and saved.
   
   Once configured, the workflow can be activated to run passively, saving you hours each week that would otherwise be spent editing photos by hand.
   
   Customization Ideas
   
   The base workflow is already quite powerful—but you can modify and extend it further:
   
   - Add ChatGPT to analyze image contents (e.g., for tagging or categorizing).
   - Enhance the image further with n8n's Edit Image node (e.g., add text or frames).
   - Automatically post final images to other platforms like WordPress or Shopify.
   - Chain this workflow with an email or Slack bot to notify you when processing is complete.
   
   Final Thoughts
   
   This n8n workflow demonstrates the potential of low-code tools to tackle media-heavy tasks with machine-level efficiency. By integrating Google Drive and Photoroom API, users can effortlessly remove image backgrounds, apply branding aesthetics, and manage creative assets at scale.
   
   If you're tired of opening Photoshop for every single image update—or want a hands-free workflow to standardize product photography—this automation can make a world of difference.
   
   Want to explore and test the Photoroom API directly? Try the API Playground [here](https://www.photoroom.com/api/playground).
   
   Let automation optimize your image workflow—one pixel at a time.
   
   —  
   By integrating the strength of Google's infrastructure with the intelligence of a photo-editing AI and the adaptability of n8n, this setup empowers users to scale, speed, and simplify their visual asset management seamlessly.

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. Enable the workflow to run on schedule, webhook, or triggers as configured.

Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.

Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.

Why Automate This with AI Agents

AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.

n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.

Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.

Best Practices

• Credentials: restrict scopes and rotate tokens regularly.
• Resilience: configure retries, timeouts, and backoff for API nodes.
• Data Quality: validate inputs; normalize fields early to reduce downstream branching.
• Performance: batch records and paginate for large datasets.
• Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
• Security: avoid sensitive data in logs; use environment variables and n8n credentials.

FAQs

Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.

How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.

Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.

Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.